code: def ndarrays(min_len=0, max_len=10, min_val=-10.0, max_val=10.0):
      return lengths(lo=1, hi=2).flatmap(
          lambda n: ndarrays_of_shape(n, lo=min_val, hi=max_val)
      )
  
file_path: thinc/thinc/tests/strategies.py
imports: import numpy
  from hypothesis.extra.numpy import arrays
  from hypothesis.strategies import floats, integers, just, tuples
  from thinc.api import Linear, NumpyOps
label_desc: Use image node_id 8 for calling a global function with example usage: ndarrays(min_len, max_len, min_val, max_val) and returns: lengths